Comparing local large language models for alt-text generation
I tested 12 LLMs — 10 running locally and 2 cloud-based — to assess their accuracy in generating alt-text for images.
weeklyfoo #74 / 2025-03-03llmsimages
📰 llms
Fully In-Browser Graph RAG with Kuzu-Wasm
In this post, we’ll showcase the potential of Kuzu-Wasm by building a fully in-browser chatbot that answers questions over LinkedIn data using an advanced retrieval technique.
weeklyfoo #76 / 2025-03-17llmswasm
How I don't use LLMs
How I run LLMs locally
A HN user asked me0 how I run LLMs locally with some specific questions, I’m documenting it here for everyone.
weeklyfoo #66 / 2025-01-06llms
Introducing the Prompt Engineering Toolkit
Notes on the new Deepseek v3
The /llms.txt file
A proposal to standardise on using an /llms.txt file to provide information to help LLMs use a website at inference time.
weeklyfoo #49 / 2024-09-09llms
Things we learned about LLMs in 2024
A lot has happened in the world of Large Language Models over the course of 2024. Here’s a review of things we figured out about the field in the past twelve months, plus my attempt at identifying key themes and pivotal moments.
weeklyfoo #67 / 2025-01-13llms
To avoid being replaced by LLMs, do what they can't
It’s a strange time to be a software engineer. Large language models are very good at writing code and rapidly getting better.
weeklyfoo #73 / 2025-02-24llmsengineering
What Is llms.txt, and Should You Care About It?
Developers and marketers are being told to add llms.txt files to their sites to help large language models (LLMs) understand their content. But what exactly is llms.txt, who’s using it, and—more importantly—should you care?
weeklyfoo #82 / 2025-04-28llms